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Journal : Governors

Inflation, Operational Efficiency Ratio and Non-Performing Financing on Muamalat Bank Profitability Wandirah, Ayu; Musthofa, Muhammad Wakhid
GOVERNORS Vol. 2 No. 3 (2023): December 2023 issue
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/governors.v2i3.2839

Abstract

This research aims to determine the effect of inflation, operational efficiency ratio (OER), as well non-performing financing (NPF) on profitability at Bank Muamalat in 2019-2022. This research includes quantitative research, using secondary data in the form of a time series namely Bank Muamalat financial publication report as a sample. Data analysis was carried out using the concept of multiple linear regression using the method of Ordinary Least Square (OLS). The results of testing and data analysis using EViews version 12 software show that partial inflation and NPF do not affect Bank Muamalat profitability, while OER has a significant effect on Bank Muamalat profitability, indicating that the direction of this influence is negative. This shows that during the observation period (2019-2022) Bank Muamalat had a low OER ratio, so the bank was able to generate profits, the relationship was significantly negative because increasing OER could reduce Bank Muamalat profitability ratio.
Inflation And Exchange Rate On Indonesia Sharia Stock Index (ISSI) 2019-2022 Period Alfajriyani, Siti; Musthofa, Muhammad Wakhid
GOVERNORS Vol. 2 No. 3 (2023): December 2023 issue
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/governors.v2i3.2840

Abstract

This research was conducted with the aim of finding out how much influence inflation and the exchange rate have on Indonesia sharia stock index (ISSI) for the 2019-2022 period. This research is quantitative research with the type of data used is secondary data of the time series data type . The method used is the multiple linear regression method with data processing using the Eviews12 program. The data taken is data from each variable from the beginning of 2019 to the end of 2022, based on quarters 1, 2, 3 and 4 with a sample of 16 data. In this research, the author carried out two tests, namely the classical assumption test as a condition for fulfilling the assumptions of the OLS method and hypothesis testing to analyze the influence of inflation and exchange rates on ISSI. The conclusion of this research is that inflation has a significant positive effect and the exchange rate has a significant negative effect.